Interactive Query Expansion Based on Association
Thesaurus for Web Information Retrieval
Abstract
With the increasing availability of information on
the WWW (World Wide Web), it becomes more important and feasible to
retrieve information efficiently and effectively. Current search engines
are created for the purpose of sifting through non-relevant information
and retrieving only those pieces of user interests. However, many difficulties,
such as word misusage of human beings, short queries in retrieval systems
and ambiguities in Chinese word identification, would cause these search
tools to reach their limitations. Therefore, we propose an interactive
searching scheme that aims to provide users an easy way to articulate
their queries and to retrieve information best fit to their interests. In
this research, a co-occurrence based association thesaurus is involved
while users submit their initial queries. This thesaurus is well arranged
by means of an organization technique, so that terms in the association
thesaurus offered as suggestions could be effortless for users to decide
which to add. Then, the reformulated queries accompanied with some query
modification methods are submitted to perform another round of searching. Two
test collections were used to construct the association thesaurus in
order to see how dataset criteria affect the constructed thesaurus. Experimental
results show that a homogeneous collection would get in a robust thesaurus
that is useful for interactive query expansion. On the other hand, two
weighting schemes for query modification were also examined and the
results show that there are some compromises of using them. In summary,
we concluded that interactive query expansion based on association thesaurus
achieves better performance in both precision and recall rate significantly.
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國立台灣科技大學 電子工程系所